Statistical inferences for partially linear single-index models with error-prone linear covariates

Zhensheng Huang

doi:10.1016/j.jspi.2010.08.010

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Statistical inferences for partially linear single-index models with error-prone linear covariates

Zhensheng Huang

Year: 2010 Journal: Journal of Statistical Planning and Inference Vol: 141 (2)Pages: 899-909 Publisher: Elsevier BV

DOI: 10.1016/j.jspi.2010.08.010

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Keywords:

Mathematics Covariate Statistics Estimator Statistical inference Statistical hypothesis testing Linear model Parametric statistics Null hypothesis Degrees of freedom (physics and chemistry) Nuisance parameter Applied mathematics Empirical likelihood Likelihood-ratio test Generalized linear model

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Statistical Methods and Bayesian Inference

Physical Sciences → Mathematics → Statistics and Probability

Statistical Methods and Inference

Physical Sciences → Mathematics → Statistics and Probability

Financial Risk and Volatility Modeling

Social Sciences → Economics, Econometrics and Finance → Finance

Statistical inferences for partially linear single-index models with error-prone linear covariates

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